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  • Universidad Torcuato Di Tella
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  • Universidad Torcuato Di Tella
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Making the cut: forecasting non impact injuries in professional soccer

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Author/s:
Cicognini, Agustín
Advisor/s:
Roccatagliata, Pablo
Thesis degree name:
Master in Management + Analytics
Date:
2021
Abstract
This paper proposes a methodology to predict work in non-traumatic injuries in professional soccer players. The task to be solved is a classification problem of the player's status with a window of 72 hours. The data set used corresponds to records of complete training by the players of Belgrano de Córdoba professional soccer team of the first division of Argentina. The chosen model is GBM with an AUC of 0.7. Interpretation exercises based on SHAP are performed on the chosen model to analyze the characteristics that determine the model's predictions. In addition, possible extensions are proposed such as the use of the results of the model at the time of contractual negotiation given the estimated proportion of time that the player will spend outside due to injury and the economic cost of those absences given, at least, by the direct salary cost of that player. Another approach to the injury forecasting problem based on survival time models is also discussed.
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https://repositorio.utdt.edu/handle/20.500.13098/11567
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  • Master in Management + Analytics


Página de ayuda al investigador
Horarios de atención
Campus Alcorta
Av. Figueroa Alcorta 7350 (C1428BCW)
Sáenz Valiente 1010 (C1428BIJ)
Ciudad de Buenos Aires, Argentina
P: (54 11) 5169 7000

 

 



Página de ayuda al investigador
Horarios de atención
Campus Alcorta
Av. Figueroa Alcorta 7350 (C1428BCW)
Sáenz Valiente 1010 (C1428BIJ)
Ciudad de Buenos Aires, Argentina
P: (54 11) 5169 7000